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- International Conference on Database and Expert Systems Applications (DEXA)
also: International Workshop on Engineering Non-Functional Information for Emerging Systems (EN-FINES @ DEXA)
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Publication search results
found 8,633 matches
- 2024
- Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin:
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. AAAI 2024: 9250-9259 - Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI 2024: 19606-19614 - Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Long Chen, Yulei Niu, Xudong Lin, Xuande Feng, Jaywon Koo, Sounak Ray, Shih-Fu Chang:
Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities. AAAI 2024: 17664-17672 - Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi:
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI 2024: 11024-11031 - Munkhtulga Battogtokh, Cosmin Davidescu, Michael Luck, Rita Borgo:
SemLa: A Visual Analysis System for Fine-Grained Text Classification. AAAI 2024: 23772-23774 - Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin:
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction. AAAI 2024: 964-971 - Ying-Yu Chen, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang:
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention. AAAI 2024: 11434-11442 - Xinhao Chen, Chong Yang, Changzhi Sun, Man Lan, Aimin Zhou:
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation. AAAI 2024: 17790-17798 - Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp:
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI 2024: 11285-11293 - Xiaofeng Cong, Jie Gui, Junming Hou:
Underwater Organism Color Fine-Tuning via Decomposition and Guidance. AAAI 2024: 1389-1398 - Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI 2024: 21037-21045 - Yi Dong, Yuxi Wang, Ruoxi Fan, Wenqi Ouyang, Zhiqi Shen, Peiran Ren, Xuansong Xie:
ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing. AAAI 2024: 1591-1599 - Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. AAAI 2024: 11829-11837 - Jiaheng Feng, Mingxiao Feng, Haolin Song, Wengang Zhou, Houqiang Li:
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning. AAAI 2024: 11961-11969 - Qijun Gan, Wentong Li, Jinwei Ren, Jianke Zhu:
Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering. AAAI 2024: 1779-1787 - Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan:
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. AAAI 2024: 18108-18116 - Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee:
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability. AAAI 2024: 12261-12269 - Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal:
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series. AAAI 2024: 22123-22131 - Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, Yang Yang:
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks. AAAI 2024: 12617-12625 - Xin Jiang, Hao Tang, Junyao Gao, Xiaoyu Du, Shengfeng He, Zechao Li:
Delving into Multimodal Prompting for Fine-Grained Visual Classification. AAAI 2024: 2570-2578 - Haoran Jiang, Zhihao Sun, Yingjie Tian:
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes. AAAI 2024: 12874-12882 - Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen:
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. AAAI 2024: 2866-2873 - Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park:
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. AAAI 2024: 13355-13364 - Shengrui Li, Xueting Han, Jing Bai:
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs. AAAI 2024: 13600-13608 - Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang, Tianyu Yu, Jun Yuan, Rui Zhang:
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities. AAAI 2024: 8697-8706 - Hanyue Liu, Haonan Cheng, Long Ye:
DNIT: Enhancing Day-Night Image-to-Image Translation through Fine-Grained Feature Handling (Student Abstract). AAAI 2024: 23563-23564 - Zhen-Xiang Ma, Zhen-Duo Chen, Li-Jun Zhao, Zi-Chao Zhang, Xin Luo, Xin-Shun Xu:
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification. AAAI 2024: 4136-4144 - Abhijit Mishra, Mingda Li, Soham Deo:
SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference. AAAI 2024: 21403-21411 - Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione:
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition. AAAI 2024: 23224-23231 - Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang:
FRIH: Fine-Grained Region-Aware Image Harmonization. AAAI 2024: 4478-4486
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